Automated Analysis and Display of Temporal Sequences of Mammograms
Abstract
Although screening for breast cancer has been effective in detecting cancers, it is not clear that all diagnostic information present in sequences of screening exams is currently being utilized. In an attempt to improve diagnostic accuracy, this project is adapting and integrating several novel technologies, under development in our laboratory, into a system for providing mammographers with information about changing tissue patterns, and the corresponding likelihood of malignancy, derived from temporal sequences of images. Our hypotheses are: 1) Sequences of screening mammograms contain information about tissue changes that is not otherwise being exploited in the diagnosis of breast cancer; and, 2) Changing tissue patterns can automatically be identified, and correlated with diagnostic questions. The main objectives of this project are to provide a system, which can be employed at the discretion of mammographers, to: 1) Normalize Images to facilitate comparisons; 2) Apply multi-image CAD methods to identify corresponding features between images; 3) Detect and classify trends in temporal sequences; 4) Calculate and present various kinds of parameter Images; and, 5) Develop a display system for efficiently presenting sequences of exams. Our expectation is that this display will improve the diagnostic performance of mammographers for these cases.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 2003
- Accession Number
- ADA419196
Entities
People
- Walter F. Good
Organizations
- University of Pittsburgh